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Displays information about an object.

This uses a mixed integer mathematical programming (MIP)
approach for building and solving multi-action planning problems,
where the goal is to find an optimal combination of management actions that
abate threats, in an efficient way while accounting for spatial aspects.
Thus, optimizing the connectivity and conservation effectiveness of
the prioritized units and of the deployed actions. The package is capable of
handling different commercial (gurobi, CPLEX) and non-commercial (symphony, CBC) MIP solvers.
Gurobi optimization solver can be installed using comprehensive instructions in
the 'gurobi' installation vignette of the prioritizr package (available in
<https://prioritizr.net/articles/gurobi_installation_guide.html>). Instead, 'CPLEX'
optimization solver can be obtain from IBM CPLEX web page (available here
<https://www.ibm.com/es-es/products/ilog-cplex-optimization-studio>). Additionally,
the 'rcbc' R package (available at
<https://github.com/dirkschumacher/rcbc>) can be used to obtain solutions
using the CBC optimization software (<https://github.com/coin-or/Cbc>). Methods used in the
package refers to Salgado-Rojas et al. (2020) <doi:10.1016/j.ecolmodel.2019.108901>,
Beyer et al. (2016) <doi:10.1016/j.ecolmodel.2016.02.005>, Cattarino et al. (2015)
<doi:10.1371/journal.pone.0128027> and Watts et al. (2009) <doi:10.1016/j.envsoft.2009.06.005>.
See the prioriactions website for more information, documentations and examples.

Jose Salgado-Rojas

prioriactions

Multi-Action Conservation Planning

Irlanda Ceballos-Fuentealba

Virgilio Hermoso

Eduardo Alvarez-Miranda

Jordi Garcia-Gonzalo

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